Quantitative analysis of chemical pollution such as ammonia nitrogen in the Chaohu Lake basin

Jiepeng Liu; Zhenhua Liu; Chuanwen Lin; Guoyun Li

doi:10.1117/12.2680019

31 May 2023 Quantitative analysis of chemical pollution such as ammonia nitrogen in the Chaohu Lake basin

Jiepeng Liu, Zhenhua Liu, Chuanwen Lin, Guoyun Li

Proceedings Volume 12704, Eighth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2023); 127042L (2023) https://doi.org/10.1117/12.2680019
Event: 8th International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE 2023), 2023, Hangzhou, China

Abstract

According to the national policy of proposing water pollution prevention and control regulations for the Chaohu Lake basin, to solve the current problem of chemical pollution in the Chaohu Lake basin, the relevant environmental data of the Chaohu Lake basin provided by Chengxin Environmental Testing Company were used, and a random forest algorithm based on high correlation filtering was proposed to construct a prediction model for the concentration of chemical pollution such as ammonia nitrogen in the Chaohu Lake basin. The method uses high correlation filtering to eliminate the strong correlation between water pollution data and adjusts the parameters of the random forest model to achieve the best prediction effect for the training data. The model was tested by real data sets, and the Bayesian ridge regression model, ordinary linear regression model, elastic network regression model, support vector machine model, and correlation vector machine model were used for comparison experiments, and the average relative error was used as the evaluation index. Finally, the random forest algorithm model with high correlation filtering achieved the best prediction results in the study of quantitative analysis of eutrophic chemical pollution such as ammonia nitrogen in the Chaohu Lake basin.

Citation Download Citation

Jiepeng Liu, Zhenhua Liu, Chuanwen Lin, and Guoyun Li "Quantitative analysis of chemical pollution such as ammonia nitrogen in the Chaohu Lake basin", Proc. SPIE 12704, Eighth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2023), 127042L (31 May 2023); https://doi.org/10.1117/12.2680019

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